Instructions to use longphann/Qwen3-14B_PCT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use longphann/Qwen3-14B_PCT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/huggingface/Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "longphann/Qwen3-14B_PCT") - Notebooks
- Google Colab
- Kaggle
Long Phan
Add training trajectory (sanitized SLURM log + rollouts.jsonl) for 211813 run
aae5110 verified Download training_trajectory.zip from longphann/Qwen3-14B_PCT: direct link, hf CLI and curl.
- Browser
- Download file 74.2 MB
-
https://huggingface.co/longphann/Qwen3-14B_PCT/resolve/main/training_trajectory.zip
- Command line
-
hf download hf://longphann/Qwen3-14B_PCT/training_trajectory.zip
-
curl -L -o training_trajectory.zip https://huggingface.co/longphann/Qwen3-14B_PCT/resolve/main/training_trajectory.zip
74.2 MB
- Xet hash:
- 0b9f75632575ebccacb2c8c7eb8ba721124751aeb3b89d73a815c485615c4608
- Size of remote file:
- 74.2 MB
- SHA256:
- c2b2f0b49fc49e855738b6a93473e5b55a68a44dff2936a5b9dbd73cfc2300fc
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